Expert systems | Inference

Inference engine

In the field of artificial intelligence, an inference engine is a component of the system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine. The knowledge base stored facts about the world. The inference engine applies logical rules to the knowledge base and deduced new knowledge. This process would iterate as each new fact in the knowledge base could trigger additional rules in the inference engine. Inference engines work primarily in one of two modes either special rule or facts: forward chaining and backward chaining. Forward chaining starts with the known facts and asserts new facts. Backward chaining starts with goals, and works backward to determine what facts must be asserted so that the goals can be achieved. (Wikipedia).

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From playlist Solve Exponential Equations with Logarithms

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From playlist Solve Exponential Equations with Logarithms

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From playlist Solve Exponential Equations with Logarithms

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From playlist Solve Exponential Equations with Logarithms

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From playlist Solve Two Step Equations with a Rational Fraction

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Related pages

Prolog | Forward chaining | Artificial intelligence | Pseudocode | Rete algorithm | Expert system | Universal quantification | Geometric and Topological Inference | First-order logic | Backward chaining | Modus ponens | Existential quantification